Update README.MD

Author: Leogabriele

MachineLearning Projects/Food-Data-Analysis/README.md

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 # Food-Data-Analysis
 
 This is an EDA(Exploratory Data Analysis) project report of Indian food dishes.
+This project extensively utilizes classifciation along with data visualization using matplotlib to classify different Indian origin delicacies based on their taste, 
+state wise consumption, veg/non-veg and it's spicyness.
 
-i.Project Key Features
+Here are some of the results that we were able to derive based on our analysis.
 
-- Regional analysis of Indian dishes
-- State wise analysis of Indian dishes
-- Flavor wise Indian dishes
-- Veg/Non-veg analysis of Indian dishes
-- Course wise analysis of Indian dishes
+1) Coursewise distribution
 
-  
-ii.Python Libraries Used
+![image](https://user-images.githubusercontent.com/88388487/197797283-28112f8e-ffeb-4cec-b561-b4fd789b935f.png)
 
- > pandas
 
- > matplotlib
 
- > seaborn
+2) Flavourwise distribution
 
+![image](https://user-images.githubusercontent.com/88388487/197797540-f9cb234d-5e6a-458a-bc59-bf1cd06c4b3a.png)
 
-iii.About Dataset
 
-Content
-Country cuisine consists of a variety of regional and traditional cuisines native to the subcontinent. 
-Given the diversity in soil, climate, culture, ethnic groups, and occupations, these cuisines vary substantially and use locally available spices, herbs, vegetables, and fruits. 
-Country food is also heavily influenced by religion, cultural choices and traditions.
 
-This dataset consists of information about various dishes, their ingredients, their place of origin, etc.
+3) Dietwise distribution
 
-  
-iv.Project Notebook
-Link to project's google colab: https://colab.research.google.com/drive/1sINY82kpP-XusFibXtfpmx_gEN4hGUz1#scrollTo=LvJvhj5LZ1ua
+![image](https://user-images.githubusercontent.com/88388487/197797758-1b5bdb8a-219f-4aa7-820b-ac38b3bf7f4c.png)
+
+
+
+4) Statewise distribution
+
+![image](https://user-images.githubusercontent.com/88388487/197797979-a3565d3a-6ab6-45fc-bea2-4347e69360bc.png)
+
+
+
+5) Region wise distribution
+
+![image](https://user-images.githubusercontent.com/88388487/197798161-a37c2ee2-aed6-4974-ab07-c8749f41d062.png)
 
-